摘要
[目的/意义]微博加V用户由于自身特性更容易成为网络中的意见领袖,然而目前研究焦点往往是“大V”用户,忽略了“中V”用户。以新浪微博的“中V”用户作为研究对象,对“中V”用户的传播特征和舆情引导力进行分析,进而提供针对“中V”用户的管理建议。[方法/过程]以罗一笑事件为例,从事件演进和用户类型两个维度对“中V”用户传播特征进行分析;同时结合情感计算模型、意见领袖指标评价法构建出用户属性矩阵,对“中V”用户舆情引导力进行研究。[结果/结论]通过对“中V”用户的研究发现,“中V”用户具有舆情引导力较强、专业性较强、商业色彩弱、粉丝同质性高等显著特征,并提出相关管理建议。
[ Purpose/significance] The verified users of microblog are more likely to become the opinion leaders, but researchers are likely to focus on the top-class verified users and there lacks studies about the mid-class verified users. This paper analyzes the mid-class verified users' propagation features and abilities in public opinion guidance, and provides some suggestions for administration. [ Method/process ] The Yixiao Luo incident is taken as an example. First, related microblogs are divided into several phases by time. Meanwhile the users are divided into several groups by their verified reasons. With these two steps, we can conduct a thorough research of users' propagation features from two different viewpoints. Then a matrix of verified users' basic attributes along with public opinion guidance ability which is based on sentiment analysis is built to evaluate the mid-class users' ability in public opinion guidance. [ Result/conclusion ] After researching, we find out the mid-class verified users have four significant features: their abilities in public opinions guidance are relatively strong, their opinions are more professional, they are comparatively rational and their followers are relatively homogeneous. With our findings, we propose some management suggestions for the mid-class verified users.
作者
张玉晨
翟姗姗
许鑫
夏立新
Zhang Yuchen;Zhai Shanshan;Xu Xin;Xia Lixin(School of Information Management, Central China Normal University, Wuhan 430079;Department of Information Management, Faculty of Economics and Management, East China Normal University, Shanghai 200241)
出处
《图书情报工作》
CSSCI
北大核心
2018年第11期79-87,共9页
Library and Information Service
基金
国家社会科学基金重大项目“基于多维度聚合的网络资源知识发现研究”(项目编号:13&ZD183)和国家社会科学基金青年项目“面向语义出版的数字图书馆资源多维度聚合研究”(项目编号:15CTQ007)研究成果之一
关键词
“中V”用户
传播特征
情感分析
舆情引导力
mid-class verified user propagation features sentiment analysis public opinion guidance